جستجوی استاد راهنمای دانشگاهی

Caterina Ida Zeppieriمشاهده پروفایل

استاد

• Calculus of Variations
• Elliptic PDEs
• Gamma-convergence
• +۵ مورد دیگر

Professor Caterina Ida Zeppieri is a distinguished mathematician at the Westfälische Wilhelms-University Münster (University of Münster) in Germany, where she leads the Research Group 'Analysis and Modelling' within the Institute for Analysis and Numerics. She has maintained a continuous academic presence since at least the Winter semester 2012/13 through to upcoming semesters in 2025/26, consistently teaching advanced mathematics courses and supervising research activities. Her research focuses on fundamental aspects of mathematical analysis with significant applications to materials science. She specializes in Calculus of Variations, Elliptic PDEs, Gamma-convergence, Homogenization theory, Free-discontinuity problems, Nonlinear elasticity, and Plasticity. Her work bridges theoretical mathematics with practical applications in understanding material behavior, particularly fracture mechanics and composite materials. Professor Zeppieri's publication record demonstrates a consistent and impactful research trajectory from 2007 through forthcoming publications in 2025. Her recent work shows a strong emphasis on stochastic homogenization techniques applied to free-discontinuity problems and singularly-perturbed functionals, revealing sophisticated mathematical approaches to modeling complex material behaviors across multiple scales. She regularly collaborates with leading researchers including Filippo Cagnetti, Gianni Dal Maso, and Lucia Scardia, contributing to significant advances in the mathematical understanding of material science phenomena. Her research has been published in top-tier mathematics journals including Calculus of Variations and Partial Differential Equations, Archive for Rational Mechanics and Analysis, and SIAM Journal on Mathematical Analysis. Within the department, Professor Zeppieri plays an active role in teaching advanced courses such as Partial Differential Equations, Calculus of Variations, and Advanced Topics in the Calculus of Variation, while participating in the department's Advanced Seminar in Applied Mathematics and Colloquium on Applied Mathematics.

Martin Greplمشاهده پروفایل

استاد

• Numerical Methods for Partial Differential Equations (PDEs)
• Model Order Reduction
• Reduced Basis Methods
• +۴ مورد دیگر

Professor Dr. Martin Grepl is a faculty member at RWTH Aachen University, where he holds the Lehr- und Forschungsgebiet Optimierung mit partiellen Differentialgleichungen (Teaching and Research Area in Optimization with Partial Differential Equations). He has been affiliated with RWTH Aachen since 2009, first as a Professor (W1) and since 2014 as a Professor (W2). Education: Diplom-Ingenieur (Aerospace Engineering), University of Stuttgart (2000) Master of Science (Mechanical Engineering), MIT (2001) Doctor of Philosophy (Mechanical Engineering), MIT (2005) His research focuses on numerical methods for partial differential equations (PDEs) , particularly model order reduction , reduced basis methods , finite element methods , and optimal control for parametrized PDEs. He also investigates parameter estimation , inverse problems , and control constraints in elliptic and parabolic PDE systems. The scientific awards he has received include the Studienstiftung des deutschen Volkes (1997-2000), a Fellowship from the Dr. Jürgen Ulderup-Stiftung (1998-1999), and the Lehrpreis der Fachschaft Mathematik/Physik/Informatik (2011). His work spans applications in manufacturing , medical physics , and fluid dynamics , as evidenced by his patents and collaborative research. His publications demonstrate expertise in reduced basis methods for nonaffine/nonlinear PDEs , trust region optimization , and error bounds for real-time and many-query scenarios. His collaborations often involve interdisciplinary applications, including thermal conduction , welding processes , and glomerular filtration modeling .

Matthew K. Tamمشاهده پروفایل

دانشیار

• continuous optimisation and its applications
• monotone operator theory
• variational and convex analysis
• +۳ مورد دیگر

Matthew K. Tam is an Associate Professor at the School of Mathematics and Statistics, The University of Melbourne, specializing in Operations Research. He is also an investigator at the Melbourne Centre for Data Science and an associate investigator in the ARC Training Centre OPTIMA. PhD in Mathematics (2016) from University of Newcastle under Jonathan Borwein Postdoctoral research at University of Göttingen with RTG-2088 and Alexander von Humboldt Foundation Junior Professor at University of Göttingen (2017-2020) His research focuses on continuous optimization, monotone operator theory, and variational analysis, with applications in wavelet construction and inverse problems. Key trends include distributed algorithms, resolvent splitting, and convergence analysis for feasibility problems. Discovery Early Career Researcher Award (DECRA) Alexander von Humboldt Fellowship He collaborates with institutions like ANZIAM, Springer, and IEEE, with publications spanning mathematical optimization, harmonic analysis, and computational mathematics. His work emphasizes algorithmic design for complex data systems and real-world applications in imaging and industrial modeling.

Christian Engwerمشاهده پروفایل

استاد

• Partial Differential Equations
• Numerical Analysis
• Finite Element Methods
• +۷ مورد دیگر

Christian Engwer is a full Professor at the University of Muenster in the Institute for Applied Mathematics, specializing in Analysis and Numerics. He leads the Engwer Group focused on Applications of Partial Differential Equations and is actively involved in the Cells in Motion initiative as a supervisor in the CiM-IMPRS Graduate Programme. His research centers on developing numerical methods for partial differential equations, particularly addressing challenges in complex geometries and multi-physics applications. He specializes in Unfitted Discontinuous Galerkin methods, which allow simulations on complex geometries without requiring domain-fitted meshes. His work spans porous media modeling, biological systems, and bioelectromagnetism applications, with significant contributions to EEG/MEG forward modeling in neuroscience. Analysis of his recent publications reveals a strong focus on model order reduction techniques, stabilized numerical schemes for cut-cell meshes, and applications in bioelectromagnetism. His work demonstrates a consistent trajectory toward developing robust, efficient numerical methods applicable to real-world problems in medical imaging and biological modeling, with increasing emphasis on high-performance computing implementations. Professor Engwer actively supervises doctoral students, with recent completions including Lukas Renelt (2025), Michael Wenske (2021), and Maria Carla Piastra (2019), among others working on topics related to numerical methods and biomedical applications. He leads several major research projects including BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG Imaging (NIH-funded since 2019), multiple EXC 2044 Cluster of Excellence projects through 2025, and the InterKI interdisciplinary teaching program on machine learning and artificial intelligence. His group develops several important software packages including DUNE (Distributed and Unified Numerics Environment), duneuro (for bioelectromagnetism applications), and TPMC (Topology Preserving Marching Cubes). These tools support research in numerical methods and their applications to complex scientific problems.

• Inverse Problems
• Material Science
• Partial Differential Equations
• +۳ مورد دیگر

Angkana Rüland is a Professor at the University of Bonn's Mathematical Institute and holder of the Hausdorff Chair at the Hausdorff Center for Mathematics (HCM), a Cluster of Excellence. She is a member of the Transdisciplinary Research Area ‘Modelling’ and a recipient of the prestigious Leibniz Prize (2025). Her research focuses on inverse problems, fractional PDEs, and phase transformations in materials science, with contributions to the Calderón problem and microstructure analysis. She has held positions at Oxford, the Max Planck Institute in Leipzig, and Heidelberg University before returning to Bonn in 2023. Education: She completed her Abitur, bachelor's/masters, and PhD (2014, Hausdorff Memorial Prize) at the University of Bonn, where she also co-founded the Bonn Math Club. Her academic journey includes postdoctoral research at Oxford and leadership roles in Leipzig and Heidelberg. Research interests span inverse problems (e.g., fractional Calderón problem), material microstructures (shape-memory alloys), and mathematical physics. Her work bridges pure and applied mathematics, addressing questions in elasticity, nonlocal operators, and energy scaling laws. Scientific awards include the Leibniz Prize (2025) for her groundbreaking research and the Hausdorff Memorial Prize for her doctoral thesis. She aims to use Leibniz Prize funds to strengthen her research group at HCM, furthering interdisciplinary collaborations. Her contributions have positioned Bonn as a global leader in mathematical research, with 20 Leibniz laureates since 1986.

Caterina Zeppieriمشاهده پروفایل

استاد

• Calculus of Variations
• Homogenization Theory
• Stochastic Analysis
• +۵ مورد دیگر

Professor Caterina Zeppieri is a faculty member at the Institute for Analysis and Numerics within the Faculty of Mathematics and Computer Science at the University of Münster, Germany. She serves as an investigator in Mathematics Münster and specializes in optimization and calculus of variations. Her research spans multiple collaborative projects within the Excellence Cluster EXC 2044. Her primary research interests focus on Calculus of Variations , Homogenization Theory , and Free-Discontinuity Problems , with significant contributions to the mathematical understanding of material science phenomena. Her work bridges theoretical mathematics with practical applications in material modeling, fracture mechanics, and multi-scale analysis. She has developed sophisticated mathematical frameworks for understanding stochastic homogenization, phase-field approximations, and gradient damage models in heterogeneous materials. Analysis of her recent publications reveals a consistent trajectory toward increasingly complex multi-scale problems involving randomness and discontinuities. Her work demonstrates deep connections between Γ-convergence theory, stochastic processes, and applications to material science, particularly in modeling fracture phenomena and composite materials. A notable trend is her development of global methods that unify deterministic and stochastic approaches to homogenization problems. Zeppieri actively contributes to teaching at the University of Münster, regularly offering courses on Partial Differential Equations, Calculus of Variations, and Advanced Topics in Mathematical Modeling. Her teaching spans both undergraduate and graduate levels, including specialized seminars on cutting-edge research topics in her field. She is deeply involved in the EXC 2044 collaborative research center, particularly in project units C1 (Evolution and asymptotics), C2 (Multi-scale phenomena and macroscopic structures), and C3 (Interacting particle systems and phase transitions), where she contributes her expertise in variational methods and homogenization to multi-disciplinary research efforts.

Lena Funckeمشاهده پروفایل

استادیار

• Quantum Computing
• Theoretical Physics
• Lattice Field Theory
• +۳ مورد دیگر

Lena Funcke is an Assistant Professor of Theoretical Physics at Bonn University. Her research focuses on quantum computing, lattice field theory, and machine learning applications in physics. She explores topics such as topological phases, gauge theories, and quantum simulations. Her work bridges high-energy physics and computational methods, with a particular emphasis on overcoming noise challenges in quantum algorithms and leveraging machine learning for optimization tasks. Funcke’s research projects include C01 and C03, focusing on Hamiltonian lattice formulations and quantum computing methods for gauge theories. She investigates hybrid approaches combining Monte Carlo simulations with quantum computing to study quantum electrodynamics and topological systems. Her contributions highlight the interplay between theoretical physics and cutting-edge computational tools. Her publications span quantum algorithms for particle physics experiments, error mitigation strategies, and the application of normalizing flows to complex systems like the Hubbard model. She actively contributes to advancing the theoretical foundations of quantum computing and its practical implementation in solving fundamental physics problems.

• Applied Geometry
• Discrete Differential Geometry
• Numerical Analysis
• +۳ مورد دیگر

Max Wardetzky is a Professor at the Institute for Numerical and Applied Mathematics within the Faculty of Mathematics and Computer Science at the University of Göttingen, Germany. His office is located at Lotzestraße 16-18, 37083 Göttingen, and he can be reached via email at wardetzky@math.uni-goettingen.de or by phone at +49 551 39 26778. Professor Wardetzky leads the Discrete Differential Geometry Lab at the University of Göttingen, where he conducts research at the intersection of mathematics, computer science, and geometry processing. His work bridges theoretical foundations with practical applications in computer graphics and scientific computing. His primary research interests include: Applied Geometry Discrete Differential Geometry Numerical Analysis Geometry Processing Physical Simulation Computer Graphics Professor Wardetzky's extensive publication record demonstrates significant contributions to the field of discrete differential geometry and its applications. His work shows a consistent focus on developing mathematically rigorous yet computationally efficient methods for geometric problems. Key trends in his research include the development of discrete analogues of smooth geometric objects, the study of convergence properties between discrete and continuous models, and the application of these methods to problems in computer graphics and physical simulation. Professor Wardetzky has made substantial contributions to the theoretical foundations of discrete differential geometry while maintaining strong connections to practical applications. His work on discrete Laplacians, curvature approximations, and geometric flows has influenced both theoretical mathematics and practical geometry processing algorithms.

Rupert Frankمشاهده پروفایل

استاد

• Analysis
• Mathematical Physics
• Spectral Theory
• +۸ مورد دیگر

Rupert Frank is a Professor of Mathematics at the University of Munich (LMU Munich) . He has held academic positions at Caltech (2013–2021) and Princeton University (2009–2013). His research spans Mathematical Physics , Spectral Theory , and Functional Inequalities , with a focus on quantum many-body systems, stability of matter, and nonlocal operators. Research Themes : Analysis of eigenvalues for Schrödinger and Pauli operators with complex potentials Semi-classical spectral asymptotics and effective theories for quantum systems Matrix inequalities and quantum information theory Calculus of variations in models like the liquid drop problem Geometric inequalities and their applications to quantum mechanics Magnetic field effects on spectral properties Recent Publications : 2025: Sharp stability for Sobolev/log-Sobolev inequalities with dimensional dependence 2025: Endpoint Schatten class properties of commutators 2024: Degenerate stability of Caffarelli-Kohn-Nirenberg inequality 2024: Hardy inequalities for large fermionic systems 2023: Review on Scott conjecture for Coulomb systems Scientific Awards : Young Scientist Prize in Mathematical Physics (2009) Grants and Collaborations : Principal Investigator in CRC TRR 352 (2023–) PI in Munich Center for Quantum Science and Technology (2019–) Multiple NSF grants (2009–2020) DFG and DAAD grants Editorial and Conference Leadership : Editorial boards: Communications in Mathematical Physics , Journal in Mathematical Physics , Journal of Spectral Theory , SIAM Journal on Mathematical Analysis , Springer Lecture Notes Organized conferences/workshops on quantum many-body systems, spectral methods, and functional inequalities (2018–2025)

Yuko Sugitaمشاهده پروفایل

مدرس

• Japanese as a Foreign Language
• Conversation Analysis
• Prosody
• +۷ مورد دیگر

Dr. Yuko Sugita serves as Lecturer for Japanese language at the Institute of East Asian Studies, University of Duisburg-Essen, where she has been teaching since the winter semester of 2014/15. Holding a Dr. phil. from the University of Duisburg-Essen and an MA in General Linguistics from the University of Tokyo, she maintains an active academic presence with courses scheduled through summer semester 2025. Her academic profile encompasses: Japanese language instruction across multiple proficiency levels Research in conversation analysis with specialized focus on prosody and multimodality Documentation and revitalization efforts for endangered Ryukyuan languages Sociolinguistic studies of Okinawan youth communication Dr. Sugita's scholarly work demonstrates a consistent integration of theoretical linguistics with practical language teaching applications. Her research trajectory shows particular expertise in analyzing communication patterns among Okinawan youth and developing strategies for language preservation. She has made significant contributions to understanding how prosodic features function in conversational contexts and how local media can support language revitalization efforts. Her publication record spans diverse venues including the Journal of Pragmatics, Language and Society, and specialized conference proceedings. She has co-edited the volume "Japanese as Foreign Language in the Age of Globalization" (2008) with Patrick Heinrich, reflecting her engagement with global perspectives on Japanese language education. As an educator, Dr. Sugita emphasizes developing students' autonomous thinking and assertive communication skills. Her current teaching responsibilities include Japanese 4 and Intensive Japanese 2/II for summer semester 2025, continuing her long-standing commitment to Japanese language education in the German academic context.

• Geometric Analysis
• Partial Differential Equations
• Differential Geometry
• +۱ مورد دیگر

Prof. Dr. Andreas Gastel is a Professor in the Faculty of Mathematics at the University of Duisburg-Essen. His research specializes in geometric analysis, partial differential equations, and differential geometry. He leads a research group working on mathematical modeling and optimization problems, particularly in gas network applications. His recent publications focus on nonlinear material models, conservation laws in polyharmonic systems, and gauge theory applications. He maintains active collaborations with researchers across mathematical physics and applied mathematics disciplines.

Heiner Rindermannمشاهده پروفایل

استاد

• Educational Psychology
• Developmental Psychology
• Cognitive Competence
• +۵ مورد دیگر

Prof. Dr. Heiner Rindermann is a Professor of Educational and Developmental Psychology at Chemnitz University of Technology (TUC). Affiliated with TUC's Institute of Psychology under the Behavioural and Social Sciences school, his work bridges educational practices and cognitive development. Academic Timeline: 1988-1993 Heidelberg RA, 1994-1999 LMU Munich RA, 1999-2007 Otto-von-Guericke-University Magdeburg RA, 2001 University of Graz visiting professor, 2003-2004 University of Kassel interim, 2004-2006 Saarland University interim, 2006-2007 Paderborn University interim, 2008-2010 University of Graz Professor, 2010-present TUC Professor. Educational Background: 1972-1985 Baden-Württemberg schools, 1986-1995 University of Heidelberg (PhD 1995), 2005 Landau habilitation. Research Interests focus on cognitive competence development , cross-cultural comparisons , intelligence-societal development links , kindergarten quality assessments , and international comparative studies . His work examines psychometric vs. Piagetian frameworks, emotional competence, and educational program evaluation. Academic Contributions include the William-Stern-Preis (2007) , APS Fellowship (2010) , and Mexican National Award of Giftedness (2016) . He serves on editorial boards for journals like Zeitschrift für Pädagogische Psychologie and Intelligence , and reviews for over 40 journals and institutions. Projects include BMBF-funded SoKonBe (external educational consultation using socio-cognitive conflicts) and international collaborations like the Study of Latin American Intelligence with Earl Hunt and Jelte Wicherts. His publications span books including Cognitive Capitalism (Cambridge University Press, 2018) and chapters in encyclopedias.

• Sequential Decision Making
• Bandit Problems
• Theoretical Reinforcement Learning
• +۶ مورد دیگر

Claire Vernade is a Group Leader at the University of Tübingen in the Cluster of Excellence Machine Learning for Science. She leads an active research group focused on theoretical aspects of sequential decision making, with particular expertise in bandit problems and reinforcement learning theory. Her work bridges theoretical foundations with practical applications in scientific discovery. Her research interests span sequential decision making, bandit problems, theoretical Reinforcement Learning, Learning Theory, and principled learning algorithms. She has made significant contributions to understanding non-stationary environments, lifelong learning frameworks, and the theoretical foundations of bandit algorithms. Her work on "Eigengame: PCA as a Nash Equilibrium" received an Outstanding Paper Award at ICLR 2021. Dr. Vernade has been awarded prestigious grants including an Emmy Noether award (2022) for her FoLiReL project and an ERC Starting Grant (2024) for her ConSequentIAL project. Her current ERC project explores the role of Reinforcement Learning in developing Continual Learning agents, with applications to scientific domains like drug discovery and micro-chemistry. Emmy Noether award under the AI Initiative call (2022) ERC Starting Grant (2024) Outstanding Paper Award at ICLR 2021 She currently supervises three PhD students and actively recruits postdocs and PhD candidates through the IMPRS-IS and ELLIS doctoral programs. Her group collaborates extensively with the broader machine learning community, organizing workshops like FoRLaC at ICML 2024 and serving as co-chairs for tutorials at major conferences. Dr. Vernade is also deeply committed to diversity and inclusion in machine learning, co-leading initiatives like Women in Learning Theory and Tübingen Women in Machine Learning.

• Optimal Control of Partial Differential Equations
• Variational Inequalities
• Nonsmooth Infinite-dimensional Optimization
• +۵ مورد دیگر

Dr. Constantin Christof is a Lecturer (Akademischer Rat auf Zeit) at the Department of Mathematics , Technische Universität München , with prior roles as a W2 Stand-in Professor at Universität Augsburg and Research Associate at TUM and TU Dortmund. His research focuses on Optimal Control of PDEs , Variational Inequalities , and Nonsmooth Optimization , with applications in Non-Newtonian Fluids and Neural Networks . May 2015 - July 2018: Dr. rer. nat. in Mathematics, TU Dortmund Oct. 2013 - July 2014: MAST (Part III of Mathematical Tripos), University of Cambridge Oct. 2009 - Sept. 2012: B.Sc. in Technomathematics and Mathematics, TU Dortmund Christof's work bridges Finite Element Error Analysis , Sensitivity Analysis , and Physics-Guided Machine Learning , particularly in problems involving Contact Mechanics and Parabolic PDE Constraints . His recent publications address challenges in Semilinear Elliptic PDEs , Obstacle Problems , and Nonsmooth Superposition Operators , with a focus on theoretical and numerical advancements. Scientific awards include the Dissertation Award and Best Graduate Award from TU Dortmund, and the Award for Academic Excellence by the Minister President of North Rhine-Westphalia. He has supervised 11 theses at the Master's and Bachelor's levels, covering topics from Neural Network Surrogate Models to Bingham Fluid Simulations .

Irwin Youseptمشاهده پروفایل

استاد

• Electromagnetics
• Numerical Analysis
• Optimization
• +۳ مورد دیگر

Prof. Dr. Irwin Yousept is a Full Professor of Mathematics at Universität Duisburg-Essen, leading the research group AG Optimal Control of Partial Differential Equations. His work focuses on the mathematical analysis and numerical solutions of electromagnetic problems, particularly in superconductivity and inverse problems. He holds a PhD from TU Berlin (2008) and has held academic positions at TU Darmstadt and TU Berlin. His research includes PDE-constrained optimization, numerical analysis, and applications in high-temperature superconductivity and electromagnetic shielding. Affiliations: Universität Duisburg-Essen, Fakultät für Mathematik Education: Diplom (2005), PhD (2008) in Mathematics from TU Berlin Research interests span Maxwell's equations, numerical methods for PDEs, and optimal control, with applications in superconductivity, electromagnetic shielding, and induction heating. He has authored over 40 publications and received awards including the Richard-von-Mises-Preis GAMM (2014). Current grants include DFG-funded projects on inverse problems and superconductivity.